Financial product recommendation method and device, computer equipment and storage medium

A recommendation method and computer program technology, applied in the field of big data, can solve problems such as low work efficiency, and achieve the effect of improving efficiency and balancing gains

Pending Publication Date: 2019-07-12
PING AN TRUST CO LTD
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AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide an efficient financial product recommendation method, de

Method used

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  • Financial product recommendation method and device, computer equipment and storage medium
  • Financial product recommendation method and device, computer equipment and storage medium
  • Financial product recommendation method and device, computer equipment and storage medium

Examples

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Embodiment Construction

[0062] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0063] In one of the examples, as figure 1 As shown, a financial product recommendation method is provided, including the following steps:

[0064] S110: Collect historical transaction data of each platform.

[0065]The server responds to user information collection operations, establishes contact with each platform system through the data interface, and collects historical transaction data of each trading platform, where each platform can be a trading platform for bonds, stocks, public funds, private funds, gold, real estate, insurance, etc. Transaction data includes tr...

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Abstract

The invention relates to the technical field of big data processing, and provides a financial product recommendation method and device, computer equipment and a storage medium, and the method comprises the steps: generating a client historical transaction data table and a product historical transaction data table according to historical transaction data collected from each platform; obtaining current transaction data of the client, and obtaining gain information according to the current transaction data, the historical transaction data table of the client and the historical transaction data table of the product; obtaining product subscription information and product net value change information, carrying out product profit and loss balance analysis according to the product subscription information and the product net value change information, and obtaining product profit and loss information; and recommending financial products according to the product profit and loss information, theclient historical transaction data table and the gain information. In the whole process, historical transaction data are automatically and widely obtained through the server, product recommendation isconducted in combination with client gains and product profit and loss fast and professionals, gains between enterprises and clients are balanced, and the efficiency of product recommendation work isimproved.

Description

technical field [0001] The present application relates to the field of big data technology, and in particular to a wealth management product recommendation method, device, computer equipment and storage medium. Background technique [0002] With the development of the economy and the advancement of technology, people's awareness of financial management has gradually increased, and more and more people have invested their idle funds in financial products. [0003] In traditional financial planning, professional financial analysts, based on their own experience and information from various industries, manage and plan customers’ funds, recommend financial products, and create investment income for customers. [0004] However, when traditional wealth management managers recommend wealth management and investment advice to customers for asset planning, their judgments based on experience are too subjective, and it is difficult to balance the common interests between the company a...

Claims

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Application Information

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IPC IPC(8): G06Q40/06
CPCG06Q40/06
Inventor 马万里甘瑞华叶丽娜杨明
Owner PING AN TRUST CO LTD
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